Most of the image dehazing algorithms based on physical models have the problems of restoring image color distortion and halo effects in the boundary area of the sky. In this paper, we propose an image dehazing method that based on light field depth calculations with atmospheric scattering models. In this method, the depth of the scene is calculated by the light field epipolar plane image, and the initial transmission calculated by the scene depth information is fused with the dark channel transmission to obtain the final transmission. At the same time, the depth of the scene is used to determine the sky boundary, and the sky area is processed separately. The experimental results on the synthetic haze image and the real haze image show that the proposed method has both improve Peak Signal-to-noise Ratio(PSNR) and Structural Similarity(SSIM) compared with a variety of methods. This method can also get good result in recovery the color of haze image and reduce halo effect after dehazing.